code: def make_simple_equity_info(
      sids,
      start_date,
      end_date,
      symbols=None,
      names=None,
      exchange="TEST",
  ):
      """
      Create a DataFrame representing assets that exist for the full duration
      between `start_date` and `end_date`.
  
      Parameters
      ----------
      sids : array-like of int
      start_date : pd.Timestamp, optional
      end_date : pd.Timestamp, optional
      symbols : list, optional
          Symbols to use for the assets.
          If not provided, symbols are generated from the sequence 'A', 'B', ...
      names : list, optional
          Names to use for the assets.
          If not provided, names are generated by adding " INC." to each of the
          symbols (which might also be auto-generated).
      exchange : str, optional
          The exchange name.
  
      Returns
      -------
      info : pd.DataFrame
          DataFrame representing newly-created assets.
      """
      num_assets = len(sids)
      if symbols is None:
          symbols = list(ascii_uppercase[:num_assets])
      else:
          symbols = list(symbols)
  
      if names is None:
          names = [str(s) + " INC." for s in symbols]
  
      return pd.DataFrame(
          {
              "symbol": symbols,
              "start_date": pd.to_datetime([start_date] * num_assets),
              "end_date": pd.to_datetime([end_date] * num_assets),
              "asset_name": list(names),
              "exchange": exchange,
          },
          index=sids,
          columns=(
              "start_date",
              "end_date",
              "symbol",
              "exchange",
              "asset_name",
          ),
      )
  
file_path: zipline/zipline/assets/synthetic.py
imports: from itertools import product
  from string import ascii_uppercase
  import pandas
  from pandas.tseries.offsets import MonthBegin
  from .futures import CMES_CODE_TO_MONTH
label_desc: Use image node_id 2 for calling a global function with example usage: make_simple_equity_info(sids, start_date, end_date, symbols, names, exchange) and returns: pd